UAV Property Development Assessment for Remote Construction Staging
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Solution Overview
Problem
Monitoring property development stages during construction is costly and burdensome due to the need for multiple in-person inspections, and aligning inspector schedules with construction stages is unpredictable.
Innovation Solution
A system utilizing unmanned aerial vehicles (UAVs) to gather image data over time, allowing for remote assessment of property development stages without physical inspections, and generating models of the property based on this data to provide rapid and comprehensive condition analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple in-person inspections are conducted to monitor property development stages, then construction quality assessment accuracy is improved, but inspection cost and time consumption increase
Solution Approach 1:
The patent uses drone-captured images to create digital copies and 3D models of the construction site, replacing the need for physical inspector presence. The system generates virtual representations of the property at different construction stages, allowing remote assessment without time-consuming travel and on-site evaluation.
Solution Approach 2:
The patent replaces the mechanical system of human inspectors physically visiting sites with an automated aerial imaging system. Drones equipped with cameras capture images that are automatically processed through image recognition algorithms, substituting human visual inspection with automated optical detection and analysis.
2Measurement precision
If multiple in-person inspections are conducted to monitor property development stages, then construction quality assessment accuracy is improved, but inspection cost increases
Solution Approach 1:
The system creates digital copies of the construction site through aerial imaging, eliminating the need for repeated physical inspections. These digital models can be viewed and analyzed multiple times without incurring additional travel costs, time costs, or logistical expenses associated with sending inspectors to the site.
Solution Approach 2:
The system enables self-service inspection capabilities where stakeholders can remotely view and assess construction progress through generated images and models. This eliminates the need to hire external inspection services or deploy internal inspection teams, reducing labor costs and operational expenses.
3Loss of time
If inspector schedules are aligned with construction stages, then assessment timeliness is improved, but scheduling complexity increases due to unpredictability
Solution Approach 1:
The system implements periodic automated inspections at predetermined construction stages using drones. Instead of coordinating inspector availability with unpredictable construction milestones, the system automatically executes imaging tasks according to a scheduled timeline, ensuring consistent monitoring intervals regardless of construction pace or inspector availability.
Solution Approach 2:
The system continuously captures images and provides real-time feedback on construction progress. This ongoing visual feedback loop allows automatic detection of stage transitions and triggers subsequent inspection actions, eliminating the need for manual schedule coordination and enabling dynamic adaptation to construction pace without increasing administrative complexity.
Data Source
AI summary
A technique for assessing development condition of a property is provided that determines development condition for an individual property or properties of interest using image or other sensor data from one or more unmanned aerial vehicles taken over the development process. A property condition output may be generated to indicate a condition of the property or properties.